SPSS One-Way ANOVA tests whether the means on a metric variable for three or more groups of cases are all equal. The groups of cases are identified by a categorical variable.

This lesson presents an overview of the most important modules for using Python in SPSS. We'll also cover each module’s main functions.

One of the most basic SPSS Python tasks is looking up variable names and inserting them into SPSS syntax. This lesson covers the easiest option for doing so.

We can run Python code straight from SPSS’ syntax window. However, there's more efficient and user friendly options too. This lesson walks you through.

Some data files have very long variable names but no variable labels. We like setting such names as variable labels. We'll then give our variables nice and short names.

SPSS offers some ways for looping over variables. These can't handle a lot of scenarios but -fortunately- Python can. This lesson walks you through a nice example.

In this lesson, we'll develop an SPSS Python module for cloning variables. Our basic approach readily generalizes to a myriad of other SPSS routines.

This tutorial presents a simple tool for recoding values along with their value labels into different values.

SPSS SET adjusts most settings in SPSS.

Doing so allows you to

• create much better output with hardly any additional effort;
• speed up a huge variety of tasks;
• accomplish tasks that are otherwise impossible.

Z-tests were introduced to SPSS version 27 in 2020.

This tutorial quickly walks you through z-tests for 2 independent proportions:

• which options should you select?
• how to interpret the output?
• which assumptions should you meet -and how to test these?
• and way more...